A distribution-free stochastic frontier model with endogenous regressors
type: Item
instance of: scholarly article
title: A distribution-free stochastic frontier model with endogenous regressors
zbMATH Open document ID: 1401.62062
author: Levent Kutlu
published in: Economics Letters
publication date: 2018-10-05T00:00:00Z
full work available at URL: https://scholarworks.utrgv.edu/cgi/viewcontent.cgi
Mathematics Subject Classification ID: 62G08
Mathematics Subject Classification ID: 62P20
Mathematics Subject Classification ID: 62M10
zbMATH DE Number: 6947446
zbMATH Keywords: endogeneity
zbMATH Keywords: time-varying efficiency
zbMATH Keywords: panel data
zbMATH Keywords: stochastic frontier
MaRDI profile type: Publication
OpenAlex ID: W2777055067
cites work: Formulation and estimation of stochastic frontier production function models
cites work: Endogenous environmental variables in stochastic frontier models
cites work: Battese-Coelli estimator with endogenous regressors
cites work: A constrained state space approach for estimating firm efficiency
cites work: Efficiency Estimation from Cobb-Douglas Production Functions with Composed Error
cites work: GMM estimation of stochastic frontier model with endogenous regressors
DOI: 10.1016/J.ECONLET.2017.12.026
description: scientific article; zbMATH DE number 6947446